dify镜像下载EOF

添加镜像源，目前下面这些是有效的，不知道以后会怎样，先用这个撑一段时间吧

{
  "builder": {
    "gc": {
      "defaultKeepStorage": "20GB",
      "enabled": true
    }
  },
  "experimental": false,
  "registry-mirrors": [
    "https://9cpn8tt6.mirror.aliyuncs.com",
    "https://registry.docker-cn.com",
    "https://mirror.ccs.tencentyun.com",
    "https://docker.1panel.live",
    "https://2a6bf1988cb6428c877f723ec7530dbc.mirror.swr.myhuaweicloud.com",
    "https://docker.m.daocloud.io",
    "https://hub-mirror.c.163.com",
    "https://mirror.baidubce.com",
    "https://your_preferred_mirror",
    "https://dockerhub.icu",
    "https://docker.registry.cyou",
    "https://docker-cf.registry.cyou",
    "https://dockercf.jsdelivr.fyi",
    "https://docker.jsdelivr.fyi",
    "https://dockertest.jsdelivr.fyi",
    "https://mirror.aliyuncs.com",
    "https://dockerproxy.com",
    "https://mirror.baidubce.com",
    "https://docker.m.daocloud.io",
    "https://docker.nju.edu.cn",
    "https://docker.mirrors.sjtug.sjtu.edu.cn",
    "https://docker.mirrors.ustc.edu.cn",
    "https://mirror.iscas.ac.cn",
    "https://docker.rainbond.cc"
  ]
}

not shared from the host and is not known to Docker

Error response from daemon: Mounts denied:
The path /opt/dify/docker/volumes/db/data is not shared from the host and is not known to Docker.
You can configure shared paths from Docker -> Preferences... -> Resources -> File Sharing.
See https://docs.docker.com/desktop/mac for more info.

dify 想添加本地 ollama 下载安装的模型

参考官网

如果你使用 Docker 部署 Dify 和 Ollama，你可能会遇到以下错误:

httpconnectionpool (host=127.0.0.1, port=11434): max retries exceeded with url:/cpi/chat (Caused by NewConnectionError ('<urllib3.connection.HTTPConnection object at 0x7f8562812c20>: fail to establish a new connection:[Errno 111] Connection refused'))

httpconnectionpool (host=localhost, port=11434): max retries exceeded with url:/cpi/chat (Caused by NewConnectionError ('<urllib3.connection.HTTPConnection object at 0x7f8562812c20>: fail to establish a new connection:[Errno 111] Connection refused'))

这个错误是因为 Docker 容器无法访问 Ollama 服务。localhost 通常指的是容器本身，而不是主机或其他容器。要解决此问题，你需要将 Ollama 服务暴露给网络。